aurielfournier · March 8, 2017 14:47
diff --git a/sjp.glmer_without_scaling.R b/sjp.glmer_without_scaling.R
 library(sjPlot)
 library(sjmisc)
 library(lme4)
 # load sample data set.
 data(efc)

 efc$scale_c12hour <- scale(efc$c12hour)
 efc$scale_e15reat <- scale(efc$e15relat)

 m <- glmer(c175empl ~ scale_c12hour + scale_e15reat + (1|resttotn), data=efc, family=binomial(link = "logit"))

 sjp.glmer(m, type="fe.pc", show.ci=TRUE)
 # what I would like to do is have this plot, but the x axis be the actual variable, not the scaled variable
	library(sjPlot)
	library(sjmisc)
	library(lme4)
	# load sample data set.
	data(efc)

	efc$scale_c12hour <- scale(efc$c12hour)
	efc$scale_e15reat <- scale(efc$e15relat)

	m <- glmer(c175empl ~ scale_c12hour + scale_e15reat + (1\|resttotn), data=efc, family=binomial(link = "logit"))

	sjp.glmer(m, type="fe.pc", show.ci=TRUE)
	# what I would like to do is have this plot, but the x axis be the actual variable, not the scaled variable